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From RAG to Riches: How to Build Insanely Good AI Applications That Use Your Own Data

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From RAG to Riches: How to Build Insanely Good AI Applications That Use Your Own Data

3 ratings

Flip the script on AI

Let's face it: AI is no longer just a buzzword. It's reshaping the entire tech landscape faster than you can say "neural network." And if you're like most developers, you're probably feeling a mix of excitement and dread.

On one hand, the possibilities are mind-blowing. On the other... well, there's that nagging fear that AI might just make your hard-earned skills obsolete.

But what if I told you there's a way to flip the script? To transform AI from a threat into your secret weapon?

Welcome to Your AI Time Machine

This book is your ticket to the future - a future where you're not just keeping up with AI, but mastering it. I’ve built you a time machine that'll transport you from now to being a top-of-the-industry developer in applying AI in Rails.

And here's the kicker: I'm not talking about building yet another useless chatbot that spits out hallucinations. Oh no. I'm diving deep into the realm of actually useful AI - the kind that powers products that actually make a difference for users, that make you go, "How the hell did they do that?”.

Exposing the "Magic" (Spoiler: It's Not Magic)

You've seen them: those AI startups that seem to have some secret sauce, some mystical knowledge that's out of reach for us mere mortal developers. They're conjuring up AI systems that seem almost magical in their capabilities. And, to be honest, charging through the nose for them.

But here's a little secret: It's not magic. It's not even particularly complicated (well, most of it). It's just a set of clever tricks and techniques that no one's bothered to explain properly.

Until now.

What You'll Learn

1. The Art of Knowledge Injection: What transforms your AI applications from glorified Magic 8-Balls to effective AI systems is injecting the right knowledge.

2. Overcome AI's limitations: AI has technical limitations, such as the size of your prompts and the documents you want to use. Together, we will explore these limitations, what they mean, and how to solve them.

3. Semantic Search Sorcery: Learn how to find meaning in your injected knowledge. Not only is it like giving your AI assistants a brain upgrade. It is useful in so many more domains that require your code to understand information. You will learn this fundamental skill and understand how it works.

4. Taming the Document Beast: Got massive documents? No problem. I'll teach you how to wrangle them into submission and sidestep the issues that long documents will normally give you.

5. Prompt Engineering Secrets: Integrating models in your applications is not like writing prompts in ChatGPT. With the secrets I teach you here, you have a lot more control over the results.

6. Effective AI with Rails: I use Rails because of the one-person-framework vision. Creating convoluted systems that are hard to maintain is not part of that vision. So the solutions I show you, are easy to understand and maintain.

Why This Book? (Because Let's Face It, You Have Options)

Look, I get it. There are a million AI courses and books out there. So why this one?

1. No BS Approach: I'm cutting through the hype and giving you the real deal. No fluff, no filler, just pure, practical knowledge.

2. Ruby on Rails Focus: Because sometimes, you just want to work with a framework that doesn't make you want to tear your hair out.

3. Learn the "Why": I don't just show you how to do things. I explain why they work. Because understanding beats memorization every time.

4. Full Source Code: Interactive playground with Babble, the complete AI-powered knowledge base I build throughout the book. Try out the code yourself and customise it to your needs.

5. Future-Proof Skills: The techniques you'll learn aren't just flavor-of-the-month stuff. These are the foundational skills that will keep you relevant for years to come.

The Harsh Truth About AI (That No One Wants to Admit)

Here's something the AI hype machine of Big Tech doesn't want you to know: A lot of AI implementations out there are, well... kind of crap. They're unreliable, they hallucinate, and they're about as useful as a chocolate teapot.

But that's good news for you. Because once you understand why they're failing, you'll know how to build AI systems that actually work. And that, my friend, is how you become indispensable in the age of AI.

Your Time Machine Awaits

Remember that time machine I mentioned? It's right here, disguised as a book (sneaky, I know). Crack it open, and you'll find yourself transported to a future where you're using actually useful AI for your applications just as easily as you use SQL, Tailwind and Ruby right now. A future where you're building systems that make people go "Wow!" instead of "Wait, what?"

A future where you aren’t replaced by AI, but you know how to use it and stay relevant.

Bonus Round: Level Up Your Whole Team

Are you an engineering manager looking to turn your team into an AI powerhouse? I've got you covered. Grab a team license, and you can share all this knowledge-y goodness with up to 10 people. It's like a cheat code for levelling up your entire department.

The Choice Is Yours

So here we are, at the crossroads. Down one path lies a future where AI slowly but surely erodes your relevance as a developer. Down the other? A future where you're riding the AI wave like a pro, building systems that seemed like science fiction just a few years ago.

The time machine is ready. The knowledge is waiting. The only question is: Are you ready to become an amazing AI developer?

Grab your copy of "From RAG to Riches" and let's build the future.

I want this!
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